The research has been published in the journal PLOS ONE. It also involved partners at the Federal University of Uberlandia in Minas Gerais, Brazil, the University of Vale do Paraíba in Sao Paolo, Brazil and the University of Saskatchewan in Canada.
Dr Matthew Baker, a Reader in Strathclyde's Department of Pure and Applied Chemistry and lead researcher in the project, said: "Frequent monitoring of diabetes is essential for improved glucose control and to delay clinical complications related to the condition. Early screening is also paramount in reducing these complications worldwide.
"Blood analysis for screening, monitoring and diagnosing diabetes is widely practiced but is quite invasive and painful. The constant need of piercing the fingers several times daily for most patients may lead to the development of finger calluses, as well as difficulty in obtaining blood samples; furthermore, not everyone would want to give blood and there are circumstances in which it could be dangerous.
"Saliva reflects several physiological functions of the body, such as emotional, hormonal, nutritional and metabolic, and so its biomarkers could be an alternative to blood for robust early detection and monitoring. It is easy to collect, non-invasive, convenient to store and requires less handling than blood during clinical procedures, while also being environmentally efficient. It also contains analytes with real-time monitoring value which can be used to check a person's condition."
Dr Robinson Sabino-Silva, an associate professor at Federal University of Uberlandia (UFU) and a partner in the research, said: "The present protocol used in the infrared platform is able to detect spectral biomarkers without reagents. The combination of a non-invasive salivary collection and a reagent-free analysis permit us to monitor diabetes with a sustainable platform classified as green technology."
The lab tests used a scientific system known as Attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy. This has been used in the diagnosis of several diseases, although its applications in the monitoring of diabetic treatment have begun to emerge only recently. Samples were assessed in three categories - diabetic, non-diabetic and insulin-treated diabetic - and two potential diagnostic biomarkers were identified.
MEDICA-tradefair.com; Source: University of Strathclyde
